As someone who has spent the better part of two decades optimizing distributed systems—from early MapReduce clusters to ...

Dr. Hoefler’s research aims at understanding the performance of parallel computing systems ranging from parallel computer architecture through parallel programming to parallel algorithms. He is also ...

Microsoft already have a parallel computing division, which concentrates on distributed computing, task concurrency and data parallelism, all easily scalable. ICS's systems, meanwhile, have ...

In this process, MicroAlgo's multi-simulator collaborative algorithm takes advantage of distributed computing. The distributed computing framework not only fully utilizes the computational ...

Distributed computing has markedly advanced the efficiency and reliability of complex numerical tasks, particularly matrix multiplication, which is central to numerous computational applications ...

He has made deep and wide-ranging contributions to many areas of parallel computing including programming languages, compilers, and runtime systems for multicore, manycore and distributed computers.

One of the fields where centralized and cloud-based computing falls short is the Internet of Things, Sønstebø says. “As IoT grows, the need for distributed computing becomes an absolute ...

Google's new "TF-Replicator" technology is meant to be drop-dead simple distributed computing for AI researchers. ... using 32 of Google's Tensor Processing Unit chips operating in parallel.

Selected advanced topics including: Parallel computing; network security; client-server computing; compression; web applications; wireless and mobile computing. The fourth number of the course code ...